Data Science from Scratch: First Principles with Python

Joel Grus takes a refreshingly transparent approach to teaching data science - he deconstructs complex concepts to their mathematical and logical roots, encouraging readers to write their own implementations before adopting pre-built libraries. This hands-on structure fosters deep comprehension, making it ideal for beginners who want to understand the inner workings of algorithms rather than just their usage. While the text assumes some familiarity with Python, its tone remains accessible, pragmatic, and humorous, keeping the learning experience lively. The second edition also updates examples for modern Python and data workflows. For anyone entering the field, it’s one of the best starting points to build intuition and confidence in both programming and analytical reasoning.

Joel Grus is a data scientist, software engineer, and educator known for making data science approachable through practical, code-driven learning. He has worked in machine learning and data analysis across multiple industries and frequently writes and speaks about technical education.